How to fix 'Object arrays cannot be loaded when allow_pickle=False' for imdb.load_data() function?

Question

I\'m trying to implement the binary classification example using the IMDb dataset in Google Colab. I have implemented this model before. But when I tried to

Answer 1

I don't usually post to these things but this was super annoying. The confusion comes from the fact that some of the Keras imdb.py files have already updated:

with np.load(path) as f:

to the version with allow_pickle=True. Make sure check the imdb.py file to see if this change was already implemented. If it has been adjusted, the following works fine:

from keras.datasets import imdb
(train_text, train_labels), (test_text, test_labels) = imdb.load_data(num_words=10000)

Answer 2

I just used allow_pickle = True as an argument to np.load() and it worked for me.

Answer 3

find the path to imdb.py then just add the flag to np.load(path,...flag...)

    def load_data(.......):
    .......................................
    .......................................
    - with np.load(path) as f:
    + with np.load(path,allow_pickle=True) as f:

Answer 4

The error also can occur if you try to save a python list of numpy arrays with np.save and load with np.load. I am only saying it for the sake of googler's to check out that this is not the issue. Also using allow_pickle=True fixed the issue if a list is indeed what you meant to save and load.

Answer 5

Use this

 from tensorflow.keras.datasets import imdb

instead of this

 from keras.datasets import imdb

Answer 6

Tensorflow has a fix in tf-nightly version.

!pip install tf-nightly

The current version is '2.0.0-dev20190511'.